Paperspell

Paperspell

Software Development

AI-empowered Assistant designed for document fast search, secure storage and effortless operating.

About us

Proactive AI Assistant / Single-point for all documents and incoming info / Family and friends collaboration / Expirations manager and deadlines tracker / Security provider / Manager of vital life data and statistics / Time, device space, and peace of mind protector.

Industry
Software Development
Company size
2-10 employees
Type
Privately Held

Employees at Paperspell

Updates

  • And yes, we’re growing and learning as we go. Just in time, here come the photos from the latest offline Axios event, which took place in Łódź this weekend. If you ask us now, “What’s the source of strength?” we’d confidently say: Strength is in people and the invisible threads that connect them. It’s in the ability to communicate: to ask and truly hear the answer, to seek and offer help, to share ideas, thoughts, and experiences. A huge thanks to the Axios Team, and especially Andrei Bas and Siarhei Krasakovich, for the inspiration and faith in us. It is truly valuable to be surrounded by smart, creative, and beautiful minds!

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    42 followers

    🎉 We Held an Offline Meetup in Łódź! Thank you to everyone who joined us and made this event truly special! 🙌 Our offline meetup in Łódź brought together inspiring ideas, meaningful discussions, and incredible energy. It’s always exciting to connect in person, share experiences, and take steps toward new opportunities. Stay tuned for more events, and let’s continue building the future together! 🚀 #ŁódźMeetup #CollaborationInAction #InnovationJourney

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    18 followers

    Paperspell on the #BelTechGlobal 2.0 BelTechGlobal 2.0 took place in Warsaw again this year, marking its second edition in 2023. The event moved to a larger venue — the conference hall at CIC Warsaw  — allowing for a comfortable and productive atmosphere, even with the growing number of participants. 🤝 One of the most memorable talks was presented by Pavel Daneyko: "Belarus as a forge of high-tech businesses: Does the national high-tech sector have a future?" We are optimistic about the future of Belarus' IT industry, especially after engaging with so many enthusiastic individuals during the event. It’s reassuring to see our confidence backed by data and real-world results. The conference provided numerous meaningful interactions: - Practiced our elevator pitch with Yury Shlahanau and received valuable feedback for further refinement. - Explored opportunities in the German market with Daniel Krutzinna. - Discussed the growth of Angels Band in Poland and the inspiring topic of eco-villages with Valery Astrynski. Both discussions were insightful and heart-warming!) Next Steps 💪Make it happen! We’ll be working on implementing the feedback we received, expanding our network, and gearing up for our product’s release. And, of course, planning the next BelTechGlobal! According to Dmitry Danilchuk, the next event might take place in Cyprus! So, let’s start preparing those residence permits, book tickets, and don’t forget the SPF. We hope to see you by the warm sea with a glass of prosecco in hand! #Paperspell #BelTechGlobal #TechConferences #Networking #Startups #Innovation

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  • Paperspell — Our Guardian Against Paperwork Chaos, or Why Are We Here Together? Hey there! Let’s get acquainted. We are Alex, Kate, Dina, Bogdan, Sasha, and Zhenya — the team behind Paperspell📎, a virtual assistant and reliable helper for managing and storing documents. 🧳It all started like a fairy tale: the world we knew and happily lived in collapsed, and we found ourselves in a new life, in emigration. What could have been seen as a problem, we (though not right away) chose to see as an opportunity: to create something we never had the time or vision for before, to discover and showcase our new (perhaps even better) qualities, and to help ourselves and others. 📑One of the biggest challenges for each of us in this new life was dealing with documents: legalization, banks, insurance, rental agreements, work contracts, powers of attorney, certificates… for ourselves, our families, sometimes even for friends and colleagues. Paper and digital. Different versions, scattered across the cloud, phone folders, messengers, and photo galleries, taking up too much space in our lives, constantly demanding attention and control. That’s when we realized we had a common pain point, and we were determined to tackle it. 📎And that’s how the idea was born: to create a virtual secretary, a guardian against the chaos of paperwork. A one-stop shop that shields you from missed deadlines, a hundred versions of your resume, old tickets, sync errors between devices, and unreliable internet. A single, safe entry point for all your digital document versions. 😎This is how Paperspell came to life — an app with a simple and intuitive interface that helps you scan, organize, find, and securely store your documents. We have big plans for it, and we’re beyond excited to share it with you soon. So, give us a thumbs up and don’t forget to hit the subscribe button!😉 Here, you’ll find all the latest news and updates, as well as opportunities to share your thoughts and feedback. We’re all ears because it’s important for us to build something that truly meets your needs!

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    18 followers

    Big Data Processing: How Large Datasets Enhance AI 📊 In previous articles, we discussed the structure of neural networks https://lnkd.in/dJXbMqbR and their training https://lnkd.in/dtGgNpJV. Now, let's explore how big data helps improve AI. 📈 The Power of Big Data Big data refers to massive volumes of information generated every second from social media, sensors, transactions, and more. Both the volume and the quality of these data are crucial for AI. They provide diverse examples, making models more accurate and reliable. 🔍 Why Big Data Matters for AI Improved Learning: Just like humans learn from various sources of information, AI trains more effectively on large datasets. This allows models to better detect complex patterns and make accurate predictions. Avoiding Overfitting: Similar to how a student who over-focuses on one subject may struggle with new tasks, big data prevents AI from overfitting, helping it adapt to new conditions more effectively. Feature Extraction: As humans encounter diverse situations and learn to notice subtle details, AI trained on big data also learns to recognize the smallest nuances, which leads to more accurate conclusions. 🔧 Processing Big Data Data Cleaning: Removing inaccuracies and errors to improve the quality of models. Data Integration: Merging data from different sources to build comprehensive models. Scalable Infrastructure: Using powerful computing resources to process large volumes of information. Training AI on big data is like humans learning through experience. Just as a person becomes more skilled through practice, AI enhances its ability to recognize patterns, make predictions, and make decisions by analyzing large datasets. The more data (or experience) it processes, the more accurate AI systems become. Now, our neural network for the Paperspell application, much like an experienced professional, can accurately recognize documents, classify them, and extract important information. Follow, like, and share your thoughts in the comments! #BigData #AI #NeuralNetworks #DataProcessing #Technology #ArtificialIntelligence #Paperspell

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    18 followers

    🤖 How Artificial Intelligence Learns Hello, Curious Minds! For those who not only want to use modern technologies but also understand how they work, this article is for you! AI plays a crucial role in Paperspell app, helping classify, recognize, and process documents. But how does AI do all of this? In the last article, we discussed the structure of neural networks — multi-layered systems made up of neurons, non-linearly interconnected. Without training, these systems can't perform tasks. It’s the training process that makes them work. https://lnkd.in/dJXbMqbR Machine Learning (ML) Machine Learning is how systems learn from data to perform tasks without explicit programming. The system provides feedback, analyzes errors, and adjusts its behavior, refining its structure. Main Types of Machine Learning Algorithms: 👨🏫 Supervised Learning It’s like school for AI. We give it tasks with pre-set answers, correct its mistakes, and teach it to distinguish, say, a cat from a dog. Repetition turns AI into a skilled specialist. 🕵️♂️ Unsupervised Learning This is like leaving AI without a teacher. It must find patterns in data by itself, identifying groups and connections with no hints. AI becomes a detective, making sense of chaos on its own. 🏆 Reinforcement Learning Here, AI learns through interaction. It gets rewards for correct actions and none for mistakes. Like training a student with rewards and consequences, AI learns strategic thinking, useful in robotics and gaming. The type of training is selected depending on the tasks performed by artificial intelligence. Popular Machine Learning Algorithms: 📊 Linear Regression Imagine predicting the future using a line. For example, it might show how the price of a house changes based on its size. Linear regression helps make these predictions. 🏷️ Classification This algorithm sorts things into categories, like distinguishing spam from regular emails by analyzing their content. 🌳 Decision Trees Like the game "guess who," each decision narrows down possibilities by answering yes/no questions until it finds the correct answer. 🚧 SVM (Support Vector Machine) SVM separates different groups of data. Imagine drawing a boundary or fence to divide groups, aiming to maximize the distance between them. 🎯 K-Means This algorithm groups data points around "centers." It’s like organizing people at a party based on similar interests. These algorithms learn and build internal structures, which is fascinating! Now, we have a trained neural network capable of recognizing, classifying, and analyzing documents. But how can we ensure that AI performs perfectly without errors? Stay tuned for the next article, where we’ll dive into “Big Data Processing” to explore how to handle vast amounts of data in AI training and why it is needed. Follow us for more insights, and share your thoughts in the comments! #MachineLearning #ArtificialIntelligence #BigData #TechInsights #DocumentManagement #PaperSpell

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    18 followers

    Neural Networks Unveiled: Understanding the Core Layers and Their Roles in AI Neural networks are computational models inspired by the biological brain, consisting of numerous interconnected computational units (neurons). These networks can learn and recognize complex patterns, making them powerful tools for solving a wide range of tasks. 🔍 Structure of a Neural Network Neural networks consist of three main types of layers: input, hidden, and output layers. 📥 Input Layer: The first layer of a neural network that receives input data. For example, in an image recognition task, each neuron in this layer might correspond to a pixel in the image. It passes the information to the next layer without altering it. 🔄 Hidden Layers: These are the main working layers where data processing occurs. Key aspects include: Number of Hidden Layers: A higher number of hidden layers makes the network deeper and more capable of solving complex tasks (deep neural networks). Number of Neurons per Layer: Determines the network's ability to learn and recognize patterns. Activation Functions: Functions embedded in the neurons that modify the signal from input to output. Depending on the task, they can transform the signal, distribute it among several neurons with different weights, or linearize it (e.g., ReLU, softmax). The system responds to errors during training by adjusting the signal distribution function across neurons, neuron layers, and so on. The network learns by receiving feedback on its predictions. You can read more about AI training here. 📤 Output Layer: The final layer that generates the end result. The number of neurons in the output layer depends on the specific task. This layer adapts the information according to the client's request. In a network designed for image creation, the number of neurons in the output layer might correspond to the number of pixels in the image. The structure and functioning of neural networks become clearer! Give us a like and stay tuned for the next articles in the series:  📚🤖 #ArtificialIntelligence #MachineLearning #NeuralNetworks #TechInsights #DocumentManagement #PaperSpell

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    18 followers

    Secure Document Storage and Smart Management with Paperspell Lost track of important documents or tired of paper clutter? Our app, Paperspell, offers the perfect solution for long-term and secure storage of scanned documents. We ensure the safety of your data and ease of use. 🔒 📂 Secure Storage: Your files are well-protected. Beyond standard login and password protection, we offer double encryption and a robust Encryption system for maximum data security. 🤖 Artificial Intelligence: Our AI helps sort documents by any criteria—date, category, keywords, and more, making searches incredibly fast and convenient. AI also assists in tracking changes, noting who made edits and when. 🔍 Easy Search: The smart search system quickly finds the documents you need, saving you time and hassle. 📊 Change Tracking: The app logs all updates and changes, keeping you informed about who modified documents and when. With Paperspell, your documents will be well-organized, and your data secure. Trust us with your document management and enjoy peace of mind! 🌟 #documentsecurity #AI #smartsearch #Paperspell #doubleshuffling #securestorage #docmanagement

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    18 followers

    Introduction to the Structure of Artificial Intelligence: What You Need to Know Artificial Intelligence (AI) is already actively influencing various spheres of our lives, from healthcare to finance. However, understanding how AI works is often limited to general concepts. In this series of articles, we will take a detailed look at what lies behind AI technologies and how they are applied in practice. This series consists of three articles:  Part 1: Neural Networks: The Basics of AI Explains what neural networks are and how they work. https://lnkd.in/dJXbMqbR Part 2: Machine Learning Algorithms Learn which algorithms are used to train AI. https://lnkd.in/dtGgNpJV Part 3: Big Data Processing Shows how big data is used to train and improve AI. https://lnkd.in/d-ictwuB Understanding how AI works is useful not only for technology specialists but for everyone who wants to comprehend how these technologies can impact their life and work. Grasping the basics of AI will help you better adapt to changes and utilize these technologies to enhance business processes and personal productivity. Subscribe to our profile to ensure you don't miss any part of this series of articles. Share your thoughts and questions in the comments — we would be happy to discuss them with you. 📚🤖 #ArtificialIntelligence #MachineLearning #BigData #NeuralNetworks #TechInsights #DocumentManagement #PaperSpell

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  • Careful Reminders About Expiration Dates Hey there! Paperspell comes with a super handy feature—careful reminders about expiration dates. 🗓️✨ It automatically detects when your documents are about to expire and sends you timely notifications. No more worrying about missing important deadlines or forgetting to renew something. Imagine this: You’re planning a trip, and just before you book your flight, you get a reminder that your passport is about to expire. Crisis averted! 😅 Paperspell makes sure all your documents are up-to-date, so you can focus on the important things in life. Stay organized and never miss a deadline again with our smart expiration date tracking. 📅🔔 #Paperspell #DocumentManagement #SmartReminders #StayOrganized #NeverForget #TechForLife

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